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中华医学超声杂志(电子版) ›› 2016, Vol. 13 ›› Issue (05) : 393 -397. doi: 10.3877/cma.j.issn.1672-6448.2016.05.014

所属专题: 乳腺超声 文献

浅表器官超声影像学

基于超声射频流的RF时间序列信号在乳腺病变良恶性鉴别中的价值
庄淑莲1, 周建华1, 王建伟1, 林庆光1, 李擎1, 李安华1,()   
  1. 1. 510060 广州,中山大学肿瘤防治中心超声科 华南肿瘤学国家重点实验室 肿瘤医学协同创新中心
  • 收稿日期:2015-11-25 出版日期:2016-05-01
  • 通信作者: 李安华
  • 基金资助:
    国家自然科学基金面上项目(81271578)

Differential diagnosis of breast lesions with RF time-series signal based on ultrasonic radio-frequency flow

Shulian Zhuang1, Jianhua Zhou1, Jianwei Wang1, Qingguang Lin1, Qing Li1, Anhua Li1,()   

  1. 1. Department of Ultrasound, Sun Yat-sen University Cancer Center, National Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Center Medicine, Guangzhou 510060, China
  • Received:2015-11-25 Published:2016-05-01
  • Corresponding author: Anhua Li
  • About author:
    Corresponding author: Li Anhua, Email:
引用本文:

庄淑莲, 周建华, 王建伟, 林庆光, 李擎, 李安华. 基于超声射频流的RF时间序列信号在乳腺病变良恶性鉴别中的价值[J]. 中华医学超声杂志(电子版), 2016, 13(05): 393-397.

Shulian Zhuang, Jianhua Zhou, Jianwei Wang, Qingguang Lin, Qing Li, Anhua Li. Differential diagnosis of breast lesions with RF time-series signal based on ultrasonic radio-frequency flow[J]. Chinese Journal of Medical Ultrasound (Electronic Edition), 2016, 13(05): 393-397.

目的

探讨基于超声射频流的原始射频(RF)时间序列信号定量分析在乳腺良恶性病变鉴别诊断中的应用。

方法

采用加拿大Ultrasonix Sonix TOUCH超声检查仪,L14-5线阵探头,对137个乳腺病灶最大横切面连续存储10 s二维图像射频RF信号。采用自编的RF时间序列信号分析软件对病灶组织感兴趣区(ROI)进行定量分析,得到9个谱特征参数,即尺寸测量关系(size measure relationship,SMR)分形维数、Higuchi分形维数、谱斜率(Slope)、谱截距(Intercept)、中频(Mid-band fit)和S1,S2,S3,S4。经手术或穿刺活检病理证实86个病灶为恶性,30个病灶为良性,21个病灶经随访2年以上无明显变化确诊为良性。

结果

基于超声射频流的RF时间序列信号的特征参数SMR分形维数、Higuchi分形维数、谱斜率(Slope)、谱截距(Intercept)、中频(Mid-band fit)和S1,S2,S3,S4,在良性病灶中均低于恶性病灶,差异具有统计学意义(0.75±0.77 vs 0.82±0.10,t=-4.722,1.31±0.07 vs 1.42±0.10,t=-7.476,-0.24±0.04 vs -0.26±0.06,t=1.986,0.19±0.03 vs 0.21±0.048,t=-3.391,0.067±0.011 vs 0.08±0.019,t=-5.319,3.22±0.54 vs 3.60±0.83,t=-3.298,0.53±0.12 vs 0.73±0.23,t=-6.467,0.31±0.06 vs 0.45±0.13,t=-9.207,0.24±0.05 vs 0.38±0.12,t=-9.367,P值均<0.05)。

结论

基于超声射频流的RF时间序列信号定量分析有望成为乳腺疾病鉴别诊断简单、无创的影像学新方法。

Objective

To evaluate the values of RF time-series signal based on ultrasonic radio-frequency flow in the differentiation of benign and malignant breast lesions.

Methods

A commercially available clinical ultrasound scanner, Sonix TOUCH (Ultrasonix Medical Corporation, Richmond, Canada) with a L14–5 linear ultrasound transducer was used to simultaneously collect B-mode images and RF data from breast lesions. The ultrasound probe displaying the maximal plane of the breast lesion was kept in the same position for 10 seconds. The ultrasound RF data from region of interest was imported into software developed by our lab for ultrasound spectral analysis and 9 spectral parameters including SMR fractal dimension, Higuchi fractal dimension, Slope, Intercept, Mid-band fit, S1, S2, S3, S4 were calculated. 137 patients with 137 breast lesions confirmed by pathological or follow-up findings were included in the study. Of the 137 breast lesions, 86 malignant and 30 benign lesions were confirmed by ultrasound guided core needle biopsy or surgical excision, and the rest 21 lesions were presumed benign as no significant change was found after at least 2 years of follow-up.

Results

There are significantly difference in spectral parameters including SMR fractal dimension, Higuchi fractal dimension, Slope, Intercept, Mid-band fit, S1, S2, S3 and S4 between the malignant and benign breast lesions (0.75±0.77 vs 0.82±0.10, t=-4.722, 1.31±0.07 vs 1.42±0.10, t=-7.476, -0.24±0.04 vs -0.26±0.06, t=1.986, 0.19±0.03 vs 0.21±0.048, t=-3.391, 0.067±0.011 vs 0.08±0.019, t=-5.319, 3.22±0.54 vs 3.60±0.83, t=-3.298, 0.53±0.12 vs 0.73±0.23, t=-6.467, 0.31±0.06 vs 0.45±0.13, t=-9.207, 0.24±0.05 vs 0.38±0.12, t=-9.367, all P<0.05).

Conclusion

RF time-series signal based on ultrasonic radio-frequency flow could provide a new imaging method with a simple, low-cost noninvasive technique for the differential diagnosis of the benign and malignant breast lesions.

图1 二维灰阶超声检查乳腺良性病灶RF时间序列参数提取过程
图2 图像相似的乳腺良恶性病灶RF时间序列信号差异明显
表1 137个乳腺病灶病理类型
表2 乳腺良恶性病灶基于超声射频流的RF时间序列信号定量分析参数比较表
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